A new Google whitepaper reveals that in AI development, the model is only 10% of the system; the harness and context engineering matter most.
The Model Is Only 10%: The Real Lesson of the New SDLC
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AI & Tooling
427 posts
The Local-First Agentic Operator
A single operator using agentic AI now builds and manages multiple complex products, traditionally requiring organizations, highlighting a shift in software creation.
World Model Readiness: Are You Ready for AI That Acts?
Assess your organization’s preparedness for the shift to AI systems capable of prediction and action with the new World Model Readiness diagnostic.
Évian and the Fallout: What Europe Actually Wants From Amodei, Hassabis, and Altman
Europe pushes for reliable AI access, sovereignty, and safety at G7 summit with Amodei, Hassabis, and Altman, amid U.S. export controls and geopolitical tensions.
The Local-First Agentic Operator
A single operator, empowered by agentic AI, now builds and manages diverse software products traditionally requiring organizations, emphasizing local-first and provider-agnostic principles.
VigilSAR Benchmark: There Is No Best Model
VigilSAR Benchmark reveals there is no universally best AI model for defense, emphasizing context-specific suitability over raw capability.
The Model Is Only 10%: The Real Lesson of the New SDLC
A new Google whitepaper emphasizes that in AI-driven software development, the model size is only 10%; the harness and context engineering are the key factors.
World Model Readiness: Are You Ready for AI That Acts?
Assess your organization’s readiness for the shift from language models to predictive, action-capable AI with the new World Model Readiness diagnostic.
Évian and the Fallout: What Europe Actually Wants From Amodei, Hassabis, and Altman
European leaders pressed U.S. AI CEOs for reliable access, sovereignty, and safety measures amid US export controls at the G7 summit in Évian.
VigilSAR Benchmark: There Is No Best Model
A new benchmark reveals there is no universally superior model for defense-relevant AI tasks, emphasizing context-dependent rankings and deployment considerations.
